How are decisions made in open source software communities? — Uncovering rationale from python email repositories

Quality Classifiers for Open Source Software Repositories

Open Source Software (OSS) often relies on large repositories, like SourceForge, for initial incubation. The OSS repositories offer a large variety of meta-data providing interesting information about projects and their success. In this paper we propose a data mining approach for training classifiers on the OSS metadata provided by such data repositories. The classifiers learn to predict the su...

Towards Mining Norms in Open Source Software Repositories

Extracting norms from computer-mediated human interactions is gaining popularity since huge volume of data is available from which norms can be extracted. Open source communities offer exciting new application opportunities for extracting norms since such communities involve developers from different geographical regions, background and cultures. Investigating the types of norms that exist in o...

Open source software communities: current issues

Communities of Practice for Open Source Software

Strategic and economic considerations led the University of São Paulo to institute a program to promote the use of OSS, also driven by a national OSS dissemination policy that draws a lot of mass media attention. The major drivers were software license cost reductions and independence from single vendors, as well as the perception that OSS allows increased user control over systems and interope...

A Qualitative Method for Mining Open Source Software Repositories

The volume of data archived in open source software project repositories makes automated, quantitative techniques attractive for extracting and analyzing information from these archives. However, many kinds of archival data include blocks of natural language text that are difficult to analyze automatically. This paper introduces a qualitative analysis method that is transparent and repeatable, ...